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Summary

Introductory Statistics: A Problem-Solving Approach is now supported by Sapling Intro Stats, a powerful online homework system in which every problem is an opportunity for a student to learn through meaningful hints, targeted feedback, and detailed solutions. Sapling Intro Stats provides students with support to navigate their homework and ultimately understand statistical concepts and calculations. Read more at www.macmillanlearning.com/saplingstats

Author Biography

Steve Kokoska received his undergraduate degree from Boston College, and his M.S and Ph.D. from the University of New Hampshire. His initial research interests included the statistical analysis of cancer chemoprevention experiments. He has published a number of research papers in mathematics journals, including: Biometrics, Anticancer Research, and Computer Methods and Programs in Biomedicine. He has also presented results at national conferences, written several books, and been awarded grants from the National Science Foundation, the Center for Rural Pennsylvania, and the Ben Franklin Program.

Steve is a long-time consultant for the College Board and conducted workshops in Brazil, the Dominican Republic, and China. He was the AP Calculus Chief Reader for four years, and has been involved with calculus reform and the use of technology in the classroom. He has been teaching at Bloomsburg University for 25years and recently served as Director of the Honors Program.

Steve has been teaching introductory statistics classes throughout his academic career, and there is no doubt that this is his favorite course. This class (and text) provides students with basic, life-long, quantitative skills that they will use in almost any job and teaches them how to think and reason logically. Steve believes very strongly in data-driven decisions and conceptual understanding through problem solving.

Table of Contents

0. Why Study Statistics The Science of Intuition The Statistical Inference Procedure Problem SolvingWith a Little Help From Technology

7. Sampling Distributions7.1 Statistics, Parameters, and Sampling Distributions7.2 The Sampling Distribution of the Sample Mean and the CentralLimit Theorem7.3 The Distribution of the Sample Proportion

8. Confidence Intervals Based on a Single Sample8.1 Point Estimation 8.2 A Confidence Interval for a Population Mean when s Is Known8.3 A Confidence Interval for a Population Mean when s Is Unknown8.4 A Large-Sample Confidence Interval for a Population Proportion8.5 A Confidence Interval for a Population Variance

9. Hypothesis Tests Based on a Single Sample9.1 The Parts of a Hypothesis Test and Choosing the Alternative Hypothesis9.2 Hypothesis Test Errors 9.3 Hypothesis Tests Concerning a Population Mean when s Is Known9.4 p Values 9.5 Hypothesis Tests Concerning a Population Mean when s Is Unknown9.6 Large-Sample Hypothesis Tests Concerning a Population Proportion 9.7 Hypothesis Tests Concerning a Population Variance or Standard Deviation

10. Confidence Intervals and Hypothesis Tests Based on Two Samples or Treatments10.1 Comparing Two Population Means Using Independent Samples when Population Variances Are Known10.2 Comparing Two Population Means Using Independent Samples from Normal Populations10.3 Paired Data 10.4 Comparing Two Population Proportions Using Large Samples10.5 Comparing Two Population Variances or Standard Deviations